Genetic Programming Bibliography entries for Aurora Trinidad Ramirez Pozo

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GP coauthors/coeditors: Eduardo Oliveira Costa, Silvia Regina Vergilio, Gustavo Antonio de Souza Goll, Ricardo Henrique Remes de Lima, Luzia Vidal de Souza, Anselmo Chaves Neto, Joel Mauricio Correa da Rosa, Vidal Daniel da Fontoura, Roberto Santana, Celso Yoshikazu Ishida, Alexander Mendiburu, Dimmy Magalhaes, Thaina Mariani, Giovani Guizzo, Evandro Nunes Regolin, Ernesto L M Rodrigues, Eduardo J Spinosa,

Genetic Programming Articles by Aurora Trinidad Ramirez Pozo

  1. Dimmy Magalhaes and Ricardo H. R. Lima and Aurora Pozo. Creating deep neural networks for text classification tasks using grammar genetic programming. Applied Soft Computing, 135:110009, 2023. details

  2. Ricardo H. R. Lima and Dimmy Magalhaes and Aurora Pozo and Alexander Mendiburu and Roberto Santana. A grammar-based GP approach applied to the design of deep neural networks. Genetic Programming and Evolvable Machines, 23(3):427-452, 2022. Special Issue: Highlights of Genetic Programming 2021 Events. details

  3. Luzia Vidal de Souza and Aurora Pozo and Joel Mauricio Correa da Rosa and Anselmo Chaves Neto. Applying correlation to enhance boosting technique using genetic programming as base learner. Applied Intelligence, 33(3):291-301, 2010. details

  4. Eduardo Oliveira Costa and Aurora Trinidad Ramirez Pozo and Silvia Regina Vergilio. A Genetic Programming Approach for Software Reliability Modeling. IEEE Transactions on Reliability, 2010. details

  5. Eduardo Oliveira Costa and Gustavo Alexandre de Souza and Aurora Trinidad Ramirez Pozo and Silvia Regina Vergilio. Exploring Genetic Programming and Boosting Techniques to Model Software Reliability. IEEE Transactions on Reliability, 56(3):422-434, 2007. details

  6. Silvia Regina Vergilio and Aurora Trinidad Ramirez Pozo. A Grammar-guided Genetic Programming Framework Configured for Data Mining and Software Testing. International Journal of Software Engineering and Knowledge Engineering, 16(2):245-268, 2006. details

Genetic Programming conference papers by Aurora Trinidad Ramirez Pozo

  1. Ricardo Henrique Remes de Lima and Aurora Pozo and Alexander Mendiburu and Roberto Santana. Automatic Design of Deep Neural Networks Applied to Image Segmentation Problems. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2021: Proceedings of the 24th European Conference on Genetic Programming, volume 12691, pages 98-113, Virtual Event, 2021. Springer Verlag. Best paper candidate. details

  2. Ricardo Henrique Remes Lima and Aurora Pozo and Alexander Mendiburu and Roberto Santana. A Symmetric grammar approach for designing segmentation models. In Yaochu Jin editor, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, page paper id24460, internet, 2020. IEEE Press. details

  3. Ricardo Henrique Remes de Lima and Aurora T. R. Pozo and Roberto Santana. Automatic Design of Convolutional Neural Networks using Grammatical Evolution. In 8th Brazilian Conference on Intelligent Systems, BRACIS, pages 329-334, Salvador, Brazil, 2019. IEEE. details

  4. Ricardo H. R. Lima and Aurora T. R. Pozo. Evolving convolutional neural networks through grammatical evolution. In Richard Allmendinger and Carlos Cotta and Carola Doerr and Pietro S. Oliveto and Thomas Weise and Ales Zamuda and Anne Auger and Dimo Brockhoff and Nikolaus Hansen and Tea Tusar and Konstantinos Varelas and David Camacho-Fernandez and Massimiliano Vasile and Annalisa Riccardi and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Ozgur Akman and Khulood Alyahya and Juergen Branke and Jonathan Fieldsend and Tinkle Chugh and Jussi Hakanen and Josu Ceberio Uribe and Valentino Santucci and Marco Baioletti and John McCall and Emma Hart and Daniel R. Tauritz and John R. Woodward and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Eneko Osaba and Javier Del Ser and Pascal Kerschke and Boris Naujoks and Vanessa Volz and Anna I Esparcia-Alcazar and Riyad Alshammari and Erik Hemberg and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and David Walker and Matt Johns and Nick Ross and Ed Keedwell and Masaya Nakata and Anthony Stein and Takato Tatsumi and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Marcus Gallagher and Mike Preuss and Olivier Teytaud and Fernando Lezama and Joao Soares and Zita Vale editors, GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 179-180, Prague, Czech Republic, 2019. ACM. details

  5. Vidal D. Fontoura and Aurora T. R. Pozo and Roberto Santana. Automated design of hyper-heuristics components to solve the PSP problem with HP model. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 1848-1855, Donostia, San Sebastian, Spain, 2017. IEEE. details

  6. Ricardo Henrique Remes de Lima and Aurora Trinidad Ramirez Pozo. A study on auto-configuration of Multi-Objective Particle Swarm Optimization Algorithm. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 718-725, Donostia, San Sebastian, Spain, 2017. IEEE. details

  7. Thaina Mariani and Giovani Guizzo and Silvia Regina Vergilio and Aurora Trinidad Ramirez Pozo. Grammatical Evolution for the Multi-Objective Integration and Test Order Problem. In Tobias Friedrich editor, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 1069-1076, Denver, USA, 2016. ACM. details

  8. Luzia Vidal de Souza and Aurora T. R. Pozo and Joel M. C. da Rosa and Anselmo Chaves Neto. The Boosting Technique Using Correlation Coefficient to Improve Time Series Forecasting Accuracy. In Dipti Srinivasan and Lipo Wang editors, 2007 IEEE Congress on Evolutionary Computation, pages 1288-1295, Singapore, 2007. IEEE Press. details

  9. Eduardo Oliveira Costa and Aurora Pozo and Silvia Regina Vergilio. Using Boosting Techniques to Improve Software Reliability Models Based on Genetic Programming. In 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), pages 643-650, Washington, D.C, USA, 2006. IEEE Computer Society. details

  10. L. V. de Souza and A. T. R. Pozo and A. C. Neto. Using Correlation to Improve Boosting Technique: An Application for Time Series Forecasting. In 8th IEEE International Conference on Tools with Artificial Intelligence, ICTAI '06, pages 26-32, Arlington, USA, 2006. IEEE. details

  11. Eduardo Oliveira Costa and Aurora Pozo. A (mu + lambda) - GP Algorithm and its use for Regression Problems. In 8th IEEE International Conference on Tools with Artificial Intelligence, ICTAI '06, pages 10-17, Arlington, VA, USA, 2006. IEEE. details

  12. Eduardo Oliveira Costa and Aurora Pozo. A New Approach to Genetic Programming based on Evolution Strategies. In IEEE International Conference on Systems, Man and Cybernetics, ICSMC '06, volume 6, pages 4832-4837, Taipei, Taiwan, 2006. IEEE. details

  13. Evandro Nunes Regolin and Aurora Trindad Ramirez Pozo. Bayesian Automatic Programming. In Maarten Keijzer and Andrea Tettamanzi and Pierre Collet and Jano I. van Hemert and Marco Tomassini editors, Proceedings of the 8th European Conference on Genetic Programming, volume 3447, pages 38-49, Lausanne, Switzerland, 2005. Springer. details

  14. Eduardo Oliveira Costa and Silvia Regina Vergilio and Aurora Trinidad Ramirez Pozo and Gustavo A. de Souza. Modeling Software Reliability Growth with Genetic Programming. In 16th International Symposium on Software Reliability Engineering (ISSRE 2005), pages 171-180, Chicago, IL, USA, 2005. IEEE Computer Society. details

  15. Eduardo Spinosa and Aurora Pozo. Controlling the Population Size in Genetic Programming. In G. Bittencourt and G .L. Ramalho editors, Advances in Artificial Intelligence: 16th Brazilian Symposium on Artificial Intelligence, SBIA 2002, volume 2507, pages 345-354, Porto de Galinhas, Recife, Brasil, 2002. Springer. details

  16. Ernesto Rodrigues and Aurora Pozo. Grammar-Guided Genetic Programming and Automatically Defined Functions. In Guilherme Bittencourt and Geber Ramalho editors, Advances in Artificial Intelligence: 16th Brazilian Symposium on Artificial Intelligence, SBIA 2002, Proceedings, volume 2507, pages 324-333, Porto de Galinhas/Recife, Brazil, 2002. Springer. details

  17. Celso Yoshikazu Ishida and Aurora Trinidad Ramirez Pozo. GPSQL Miner: SQL-Grammar Genetic Programming in Data Mining. In David B. Fogel and Mohamed A. El-Sharkawi and Xin Yao and Garry Greenwood and Hitoshi Iba and Paul Marrow and Mark Shackleton editors, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 1226-1231, 2002. IEEE Press. details

  18. Eduardo Spinosa and Aurora T. R. Pozo and Silvia R. Vergilio and Ernesto L. M. Rodrigues. Chameleon: a Generic Tool for Genetic Programming. In III Encontro Nacional de Inteligencia Artificial, Fortaleza, CE, Brasil, 2001. details

Genetic Programming book chapters by Aurora Trinidad Ramirez Pozo